code: def forward(self, inputs):
      y = self.conv1_1(inputs)
      y = self.conv1_2(y)
      y = self.conv1_3(y)
      y = self.pool2d_max(y)
      out = []
      for i, block in enumerate(self.stages):
          y = block(y)
          if i in self.out_indices:
              out.append(y)
      return out
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import paddle
  from paddle import ParamAttr
  import paddle.nn
  import paddle.nn.functional
  from paddle.vision.ops import DeformConv2D
  from paddle.regularizer import L2Decay
  from paddle.nn.initializer import Normal, Constant, XavierUniform
label_desc: Use image node_id 2 for calling the ResNet_vd obj's underlying member method code with example usage: obj.forward(inputs) and returns: out